School of Computer Science


MLO Group - Resources for Research (R-4-R)



Research is challenging, immensely rewarding, and if you do it right, fun.

This page is a set of hints/tips that may be useful if you are starting out in research (and maybe even if you consider yourself a seasoned researcher!) to understand what it is, and how it's done.

A big part of the research process involves introspection, thinking hard about how you work, and what your interests are. Below are some webpages which provide a starting point for your thinking.

First, how about asking simply what is research?!

General Tips Writing Reading Presentations Historical Perspectives on Machine Learning and Pattern Recognition

ML+PR are still maturing fields. If we compare ourselves relative to older sciences, such as biology, chemistry or physics, then we're still teenagers. It's therefore good to look back and consider how far we've come, and where we're going. This enables us to plan and understand our objectives and motivations. The following are a series of papers which attempt to do this, or are themselves from the early days of the field, enabling you to look back in time.